Learn R Programming

⚠️There's a newer version (3.3-1) of this package.Take me there.

spatstat (version 1.28-1)

Spatial Point Pattern analysis, model-fitting, simulation, tests

Description

A package for analysing spatial data, mainly Spatial Point Patterns, including multitype/marked points and spatial covariates, in any two-dimensional spatial region. Also supports three-dimensional point patterns, and space-time point patterns in any number of dimensions. Contains over 1000 functions for plotting spatial data, exploratory data analysis, model-fitting, simulation, spatial sampling, model diagnostics, and formal inference. Data types include point patterns, line segment patterns, spatial windows, pixel images and tessellations. Exploratory methods include K-functions, nearest neighbour distance and empty space statistics, Fry plots, pair correlation function, kernel smoothed intensity, relative risk estimation with cross-validated bandwidth selection, mark correlation functions, segregation indices, mark dependence diagnostics etc. Point process models can be fitted to point pattern data using functions ppm, kppm, slrm similar to glm. Models may include dependence on covariates, interpoint interaction, cluster formation and dependence on marks. Fitted models can be simulated automatically. Also provides facilities for formal inference (such as chi-squared tests) and model diagnostics (including simulation envelopes, residuals, residual plots and Q-Q plots).

Copy Link

Version

Install

install.packages('spatstat')

Monthly Downloads

17,668

Version

1.28-1

License

GPL (>= 2)

Maintainer

Adrian Baddeley

Last Published

June 29th, 2012

Functions in spatstat (1.28-1)

Reduced Second Moment Measure

Multitype K Function (i-to-any)

envelope.envelope

Recompute Envelopes

Marked K-Function

The Soft Core Point Process Model

Convert to Pixel Image

Multitype K Function (Cross-type)

Test Whether Function Objects Are Compatible

The Strauss / Hard Core Point Process Model

Fit the Neyman-Scott cluster process with Cauchy kernel

Inhomogeneous Cross Type L Function

Saturated Pairwise Interaction model

complement.owin

Take Complement of a Window

The Lennard-Jones Potential

Marked Nearest Neighbour Distance Function

Extract Subset of Function Array

Inhomogeneous Cross K Function

Extract Subset of Image

Morphological Closing

Convert Data To Class psp

Diggle-Gratton model

Diagnostics for random marking

K function of a model

The Fiksel Interaction

Apply Function to Every Neighbourhood in a Point Pattern

Geyer's Saturation Point Process Model

Test Whether Pixel Images Are Compatible

Convert Pixel Image to Matrix

Model Compensator of K Function

Multitype Nearest Neighbour Distance Function (i-to-any)

Marked J Function

Kaplan-Meier Estimator using Histogram Data

Compute Fitted Effect of a Spatial Covariate in a Point Process Model

The Strauss Point Process Model

Multitype J Function (i-to-j)

as.data.frame.hyperframe

Coerce Hyperframe to Data Frame

Apply a Function to a Point Pattern Broken Down by Factor

Residual G Function

Test Whether Points Are Inside A Window

Distance to Boundary of Window

Determine A Common Spatial Domain And Pixel Resolution

Beta Ganglion Cells in Cat Retina

Multitype Nearest Neighbour Distance Function (i-to-j)

Inhomogeneous Marked K-Function

Hughes' Amacrine Cell Data

adaptive.density

Intensity Estimate of Point Pattern Using Tessellation

Optimise Irregular Trend Parameters in Point Process Model

Extract Subset of Line Segment Pattern

Empty Space Function of a Three-Dimensional Point Pattern

Convert Data To Class owin

Extract Subset of Point Pattern on Linear Network

Convert Pixel Image from Numeric to Factor

Plot a Pixel Image

Border Region of a Window

Convert a Window to a Polygonal Window

Collapse Several Function Tables into One

Function Arrays for Spatial Patterns

Concatenate x,y Coordinate Vectors

Multitype L-function (cross-type)

Convert Pixel Image to Matrix or Array

Artificial Data Point Pattern

Extract Interaction Structure

Interactively Add Points

Convolution of Pixel Images

Chorley-Ribble Cancer Data

Inhomogeneous Linear Pair Correlation Function

as.data.frame.psp

Coerce Line Segment Pattern to a Data Frame

Beta Ganglion Cells in Cat Retina, Old Version

Diameter of an Object

Test Whether An Object Is A Pixel Image

Piecewise Constant Saturated Pairwise Interaction Point Process Model

K-function using FFT

as.hyperframe.ppx

Extract coordinates and marks of multidimensional point pattern

Influenza Virus Proteins

Test Whether An Object Is A Fitted Point Process Model

Corners of a rectangle

Areas of Morphological Dilations

Create a Linear Network

Smoothing Estimate of Covariate Transformation

Neighbourhood density function

Methods for Fitted Point Process Models on a Linear Network

Scott's Rule for Bandwidth Selection for Kernel Density

Extract Dummy Points Used to Fit a Point Process Model

Parameter influence measure

Pairwise Distances Between Two Different Multi-Dimensional Point Patterns

as.data.frame.ppp

Coerce Point Pattern to a Data Frame

Clark and Evans Aggregation Index

Centroid of a window

Intersection of Two Tessellations

Exponential Energy Marks

Rectangular grid of points

Inhomogeneous Multitype K Dot Function

clarkevans.test

Clark and Evans Test

Mosaic Random Field

Generic Pairwise Interaction model

compatible.fasp

Test Whether Function Arrays Are Compatible

Berman-Huntington points and lines data

Japanese Pines Point Pattern

Coefficients of Fitted Point Process Model

Local pair correlation function

Pairwise distances in Three Dimensions

bounding.box.xy

Convex Hull of Points

Number of Line Segments in a Line Segment Pattern

Integral of a Pixel Image

Interactively join vertices on a plot

Diggle's Heather Data

Intersection, Union or Set Subtraction of Two Windows

Evaluate Logical Expression Involving Pixel Images and Return Region Where Expression is True

The Hard Core Point Process Model

Third order summary statistic

DiggleGatesStibbard

Diggle-Gates-Stibbard Point Process Model

Convex Hull of Points

crossdist.default

Pairwise distances between two different sets of points

Loglikelihood of Spatial Logistic Regression

Three-Dimensional Box

Infinite Straight Lines

Convert Function Value Table to Function

Fit the Matern Cluster Point Process by Minimum Contrast

ANOVA for Fitted Point Process Models

Hybrid Geyer Point Process Model

is.multitype.ppp

Test Whether A Point Pattern is Multitype

Classify Points in a Point Pattern

Nearest Neighbour Distance Function G

Evaluate Expression Involving Functions

Log Likelihood and AIC for Point Process Model

Spherical Contact Distribution Function

Lansing Woods Point Pattern

Ord's Interaction model

Geometrical Calculations for Three-Dimensional Box

Plot a Simulation Envelope

Model Compensator of Nearest Neighbour Function

Interactively Define a Polygon

Fit a Log-Gaussian Cox Point Process by Minimum Contrast

Kolmogorov-Smirnov Test for Point Process Model

cbind.hyperframe

Combine Hyperframes by Rows or by Columns

Tabulate Marks in Neighbourhood of Every Point in a Point Pattern

Identify Covariates Involved in each Model Term

Function Value Table

Exchange X and Y Coordinates

Test Whether A Point Pattern is Marked

Find Line Segment Nearest to Each Point

Area of Part of Disc

Convert Window to Pixel Image

Apply Gaussian Blur to a Pixel Image

Difference of Disc Areas

Pair Correlation Function

Nearest neighbour distances in three dimensions

Humberside Data on Childhood Leukaemia and Lymphoma

Empirical Intensity of Point Pattern

Convert Window to Another Unit of Length

Interaction Distance of a Point Process

Pairwise distances between two different point patterns

Multi-Dimensional Box

Kernel Smoothed Intensity of Point Pattern

Generic Ord Interaction model

Spatial smoothing of observations at irregular points

Test Whether Objects Are Compatible

Nearest Neighbours Between Two Patterns

Pool Data from Several Ratio Objects

The Area Interaction Point Process Model

density.splitppp

Kernel Smoothed Intensity of Split Point Pattern

Perspective Plot of Pixel Image

spatstat-internal

Internal spatstat functions

Evaluate Expression Involving Pixel Images

Multitype pair correlation function (i-to-any)

Create a Pixel Image Object

Apply Affine Transformation To Point Pattern

Plot a Spatial Kolmogorov-Smirnov Test

Extract or Replace Subset of Tessellation

Nearest Neighbour Distance Distribution Function of a Three-Dimensional Point Pattern

Plot a plotppm Object Created by plot.ppm

Morphological Erosion

Connected components of an image or window

Inhomogeneous Neighbourhood Density Function

Simulation Envelopes of Summary Function

Envelope for Point Patterns on Linear Network

Bounding Box of a Window or Point Pattern

Generate a Default Pattern of Dummy Points

Apply Affine Transformation To Window

Combine Function Value Tables

Calculate four standard summary functions of a point pattern.

Harkness-Isham ants' nests data

Class of Images

inforder.family

Infinite Order Interaction Family

Multitype J Function (i-to-any)

Fry Plot of Point Pattern

Aherne's hamster tumour data

Plot a List of Things

Intersect Infinite Straight Lines with a Window

Gorilla Nesting Sites

Test Whether An Object Is Empty

Extract or Change Coordinates of a Spatial or Spatiotemporal Point Pattern

Convert dataset to another unit of length

methods.distfun

Methods for Distance Functions

Histogram of Pixel Values in an Image

Window in Shape of Letter R

Distance Map of Point Pattern

Mark Correlation Integral

Convert Line Segment Pattern to Pixel Image

Fit Point Process Model to Data

Evaluate Expression Involving Function Arrays

Inhomogeneous Multitype L Dot Function

Cross Validated Bandwidth Selection for Spatial Smoothing

Fit a Log-Gaussian Cox Point Process by Minimum Contrast

Recognise Stationary and Poisson Point Process Models

Influence Measure for Spatial Point Process Model

Fit the Neyman-Scott Cluster Point Process with Variance Gamma kernel

Mosaic Random Set

Intensity of Fitted Point Process Model

Test Whether a Window is Convex

project2segment

Move Point To Nearest Line

Pairwise shortest-path distances between points on a linear network

Reflect In Origin

Methods for Spatial Logistic Regression Models

Level Set of a Pixel Image

Simulate systematic random point pattern

Pairwise Distances in Any Dimensions

Create List of Plotting Layers

Pairwise distances

Distance to Boundary of Window

Simulate Point Process Models using the Metropolis-Hastings Algorithm.

California Redwoods Point Pattern (Ripley's Subset)

Bootstrap Confidence Bands for Summary Function

Identify Segments in a Line Segment Pattern

Apply Vector Translation To Point Pattern

Distance Between Two Point Patterns

Spatial Logistic Regression

Simulated Point Pattern

Foxall's Distance Functions

Simulate point patterns using the Metropolis-Hastings algorithm.

The Triplet Point Process Model

Intensity of a Dataset or a Model

Summary of a Line Segment Pattern Dataset

Fit Point Process Model to Point Pattern on Linear Network

Hyper Data Frame

Print Brief Details of a Spatial Window

Estimate the I-function

Test Whether Marks Are Present

exactMPLEstrauss

Exact Maximum Pseudolikelihood Estimate for Stationary Strauss Process

Inhomogeneous Pair Correlation Function

Define Point Process Model for Metropolis-Hastings Simulation.

default.rmhcontrol

Set Default Control Parameters for Metropolis-Hastings Algorithm.

Convert Data to Hyperframe

Make Pixel Images Compatible

Convert Polygonal Region into Different Format

Colour Lookup Tables

Extract Subset of Signed or Vector Measure

Morphological Opening

Lambert's W Function

Point and Click Interface for Exploratory Analysis of Point Pattern

matclust.estpcf

Fit the Matern Cluster Point Process by Minimum Contrast Using Pair Correlation

Dummy Function Returns Number of Points

Compute Integral of Function Against Cumulative Distribution

edges2triangles

List Triangles in a Graph

Murchison gold deposits

as.data.frame.im

Convert Pixel Image to Data Frame

Convert and Compare Colours in Different Formats

Fit the Thomas Point Process by Minimum Contrast

Model Formulae for Gibbs Point Process Models

Nearest neighbour

Fitted Conditional Intensity for Point Process Model

Reset Values in Subset of Image

methods.rho2hat

Methods for Intensity Functions of Two Spatial Covariates

pairwise.family

Pairwise Interaction Process Family

Pair Correlation Function of a Three-Dimensional Point Pattern

Linear Pair Correlation Function

Random Perturbation of a Point Pattern

Hutchings' Bramble Canes data

Inhomogeneous Multitype Pair Correlation Function (Type-i-To-Any-Type)

Subdivide a Window or Tessellation using a Set of Lines

Apply Affine Transformation To Pixel Image

Difference of Disc Areas

Analysis of Deviance for Spatial Logistic Regression Models

Summarizing a Pixel Image

Create Point Pattern on Linear Network

Pseudoscore Diagnostic For Fitted Model against General Alternative

Apply Scalar Dilation

spatstat.options

Internal Options in Spatstat Package

Determine Duplicated Points in a Spatial Point Pattern

Divide Image Into Sub-images

Pair Correlation Function of Point Pattern

Simulate a Fitted Gibbs Point Process Model

quadrat.test.splitppp

Chi-Squared Test of CSR for Split Point Pattern

Compute Areas of Tiles in a Tessellation

Prediction from a Fitted Cluster Point Process Model

Apply Expansion Rule

Nearest Neighbour Distances in Any Dimensions

Convert Spatial Object to Pixel Image

Apply Vector Translation To Window

Plot a tessellation

Plot a Spatial Window

Urkiola Woods Point Pattern

Extract List of Tiles in a Tessellation

Reduced Sample Estimator using Histogram Data

Simulate Neyman-Scott Point Process with Variance Gamma cluster kernel

Plot a Colour Map

Poisson Point Process on a Linear Network

Quadrature Scheme Based on Pixel Grid

Extract Subset of Function Values

Generate Poisson Random Line Process

Estimate the J-function

Convert Data To Tessellation

Fit the Thomas Point Process by Minimum Contrast

Randomly Shift a Line Segment Pattern

plot.bermantest

Plot Result of Berman Test

Simulate from a Fitted Point Process Model

Summary of a List of Things

Estimate window from points alone

Superimpose Several Geometric Patterns

Evaluate an Expression in a Function Table

Dirichlet Tessellation of Point Pattern

Pool Data from Several Function Arrays

Convert Point Pattern to Pixel Image

Spruces Point Pattern

Perfect Simulation of the Strauss-Hardcore Process

Pseudoscore Diagnostic For Fitted Model against Area-Interaction Alternative

Plot a List of Point Patterns

Place Points Evenly Along Specified Lines

Extract or Replace Subset of a List of Things

Simulation Envelopes of Summary Function for 3D Point Pattern

Beadlet Anemones Data

pppmatching.object

Class of Point Matchings

Distance Map of Window

Simple Example of Linear Network

Leverage Measure for Spatial Point Process Model

Check Whether Point Process Model is Valid

Simulate Matern Cluster Process

Mark Connection Function

Nearest neighbours in three dimensions

Methods for three-dimensional point patterns

Plot Pixel Image on Linear Network

Marks of a Point Pattern

Distance for a Point Pattern Matching

Nearest-Neighbour Correlation Indices of Marked Point Pattern

Generate N Random Multitype Points

Apply Affine Transformation

Test Whether An Object Is A Window

Generate Poisson Point Pattern on Line Segments

Circular Window

Plot a Signed or Vector-Valued Measure

Compute Images of Constructed Covariates

Midpoints of Line Segment Pattern

Endpoints of Line Segment Pattern

Pair Correlation Function obtained from K Function

Pair Correlation Function obtained from array of K functions

Extract Subset of Multidimensional Point Pattern

ANOVA for Fitted Point Process Models on Linear Network

Extract Quadrature Scheme Used to Fit a Point Process Model

Predicted or Fitted Values from Spatial Logistic Regression

plot a Fitted Point Process Model

Diameter of a Window

Kaplan-Meier and Reduced Sample Estimator using Histograms

Plot a List of Things

Update a Fitted Point Process Model

Multidimensional Space-Time Point Pattern

Plot a fitted cluster point process

plot a Spatial Line Segment Pattern

Chi-Squared Dispersion Test for Spatial Point Pattern Based on Quadrat Counts

Pairwise distances

Summary of a Point Pattern Dataset

Methods for Point Patterns on a Linear Network

Basis for Harmonic Functions

Orientation Angles of Line Segments

Inhomogeneous Multitype Pair Correlation Function (Cross-Type)

Signed or Vector-Valued Measure

Random Thinning

Perfect Simulation of the Hardcore Process

Interpret Fitted Model for Metropolis-Hastings Simulation.

Lengths of Line Segments

Apply Function to Image Broken Down by Factor

Weighted Empirical Cumulative Distribution Function

Plot a linear network

Profile Maximum Pseudolikelihood

Convert Line Segment Pattern to Another Unit of Length

Print News About Latest Version of Package

Generate N Random Points

Plot a three-dimensional point pattern

Poisson Point Process Model

Distance Map of Line Segment Pattern

Inhomogeneous Linear K Function

Tropical rain forest trees

spatstat-deprecated

Deprecated spatstat functions

Update a Fitted Cluster Point Process Model

Convert Data to Three-Dimensional Box

Ord Interaction Process Family

Scatterplot Matrix for Pixel Images

Random Re-Labelling of Point Pattern

Simulate Matern Model I

Estimate Variance of Summary Statistic by Subdivision

Generate N Uniform Random Points

Summarise Marks in Every Neighbourhood in a Point Pattern

Subset of Quadrature Scheme

Apply Vector Translation To Line Segment Pattern

Define Point Process Model for Metropolis-Hastings Simulation.

Test Whether An Object Is A Point Pattern

Default Expansion Rule for Simulation of Model

California Redwoods Point Pattern (Entire Dataset)

Poisson Line Tessellation

Methods for Multidimensional Space-Time Point Patterns

Data and Code From JRSS Discussion Paper on Residuals

Simulate Thomas Process

nearest.raster.point

Find Pixel Nearest to a Given Point

Create a Window

Smooth a Signed or Vector-Valued Measure

Method of Minimum Contrast

Q-Q Plot of Residuals from Fitted Point Process Model

Perimeter Length of Window

plot a Spatial Point Pattern

Set Covariance of a Window

Morishita Index Plot

Name for Unit of Length

Plot a Fitted Spatial Logistic Regression

Rotate a Window

Create a Point Matching

Fit Cluster or Cox Point Process Model

vargamma.estpcf

Fit the Neyman-Scott Cluster Point Process with Variance Gamma kernel

Triplet Interaction Family

Rotate a Point Pattern

Pseudoscore Diagnostic For Fitted Model against Saturation Alternative

Kernel Smoothing of Line Segment Pattern

Nearest neighbour distances between line segments

Number of Points in a Point Pattern

Pixel Image Approximation of a Window

quadratresample

Resample a Point Pattern by Resampling Quadrats

Methods for Linear Networks

Nearest Neighbours in Any Dimensions

Simulate a Fitted Spatial Logistic Regression Model

Spokes pattern of dummy points

Divide Multidimensional Point Pattern into Sub-patterns

Cut margins from rectangle

Sample Quantiles of Pixel Image

Convert Data To Class ppp

Pairwise distances between line segments

Pairwise distances

Geometrical Calculations for Multi-Dimensional Box

with.hyperframe

Evaluate an Expression in Each Row of a Hyperframe

Osteocyte Lacunae Data: Replicated Three-Dimensional Point Patterns

Pine saplings in Finland.

Lurking variable plot

Distance Map as a Function

Extract or Replace Subset of Point Pattern

Generate Multitype Poisson Point Pattern

Point Patterns of New Brunswick Forest Fires

Summarizing a Fitted Point Process Model

The Piecewise Constant Pairwise Interaction Point Process Model

Inverse-distance weighted smoothing of observations at irregular points

Apply Affine Transformation To Line Segment Pattern

Cartesian Coordinates for a Pixel Raster

Simulate Stratified Random Point Pattern

Weighted kernel smoother

Test Whether A Point Process Model is Marked

Residual Diagnostics for Multiple Fitted Models

rPoissonCluster

Simulate Poisson Cluster Process

Approximate a Polygon by a Simpler Polygon

summary.splitppp

Summary of a Split Point Pattern

Sufficient Statistic of Point Process Model

Circumradius and Diameter of a Linear Network

Bronze gradient filter data

Combine Two Line Segment Patterns

Create a Point Pattern

Methods for Intensity Functions of Spatial Covariate

Inhomogeneous K-function

Class of Line Segment Patterns

multiplicity.ppp

Count Multiplicity of Duplicate Points

Variance-Covariance Matrix for a Fitted Point Process Model

Compute Quadrature Weights Based on Grid Counts

plot.leverage.ppm

Plot Leverage Function

plot a Spatial Quadrature Scheme

Saturated Pairwise Interaction Point Process Family

Smoothed Relative Density of Pairs of Covariate Values

Volume of an Object

Class of Quadrature Schemes

Methods for Units

Locally Scaled K-function

scaletointerval

Rescale Data to Lie Between Specified Limits

runifpointOnLines

Generate N Uniform Random Points On Line Segments

Print a Fitted Point Process Model

Apply Vector Translation

Generate N Uniform Random Points in a Disc

Multitype L-function (i-to-any)

Create Pixel Image on Linear Network

Marks of a Line Segment Pattern

Extract.splitppp

Extract or Replace Sub-Patterns

Estimate the empty space function F

Weighted Histogram

Simulate Gauss-Poisson Process

Perfect Simulation of the Diggle-Gratton Process

Quadrat counting for a point pattern

Perfect Simulation of the Diggle-Gates-Stibbard Process

Spatial Covariance of a Pixel Image

Convert Line Segment Pattern to Binary Pixel Mask

Methods for Cluster Point Process Models

Variance-Covariance Matrix for a Fitted Cluster Point Process Model

Simulate Simple Sequential Inhibition

Maximum, Minimum, Mean, Median, Range or Sum of Pixel Values in an Image

Methods for Multi-Dimensional Box

rmhmodel.default

Build Point Process Model for Metropolis-Hastings Simulation.

model.frame.ppm

Extract the Variables in a Point Process Model

plot.influence.ppm

Plot Influence Measure

Predict Point Process Model on Linear Network

Identify Pixelwise Maximum of Several Pixel Images

Pairwise distances between two different line segment patterns

Divide Point Pattern into Sub-patterns

Theoretical Distribution of Nearest Neighbour Distance

selfcrossing.psp

Crossing Points in a Line Segment Pattern

Test Expansion Rule

Print Brief Details of an Image

Generate Poisson Point Pattern in Three Dimensions

Divide Region into Quadrats

Prediction from a Fitted Point Process Model

Convert Point Pattern to Another Unit of Length

Ponderosa Pine Tree Point Pattern

Areas of Morphological Erosions

Plot a Function Array

Coefficients of Fitted Spatial Logistic Regression Model

Galaxies in the Shapley Supercluster

Generate N Uniform Random Points in Three Dimensions

spatstat-package

The Spatstat Package

Nonparametric Estimate of Spatially-Varying Relative Risk

Three Dimensional Point Pattern

Print Brief Details of a Point Pattern Dataset

plot.hyperframe

Plot Entries in a Hyperframe

Pixel Values Along a Transect

Spatial Scan Test

Determine Whether One Window is Contained In Another

Point and Click Interface for Displaying a Point Pattern

Rounding of Pixel Values

Convert Data to Numeric Values by Constructing Dummy Variables

Class of Point Patterns

Create a Line Segment Pattern

Linear K Function

Morphological Dilation

Multitype pair correlation function (cross-type)

Cressie-Loosmore-Ford and Maximum Absolute Deviation Tests

Test whether Object is Multitype

Vertices of a Window

Generate grid of parallel lines with random displacement

Cross Validated Bandwidth Selection for Kernel Density

Summarizing a Quadrature Scheme

Extract Original Data from a Fitted Point Process Model

Set Control Parameters for Metropolis-Hastings Algorithm.

Create a Tessellation

rshift.splitppp

Randomly Shift a List of Point Patterns

Berman's Tests for Point Process Model

Generate N Uniform Random Points in Any Dimensions

Apply Vector Translation To Pixel Image

Fitted Probabilities for Spatial Logistic Regression

Simulate Baddeley-Silverman Cell Process

Residual K Function

Print Brief Details of a Line Segment Pattern Dataset

Nearest neighbour distances

Extract the Interaction from a Fitted Point Process Model

Determine Type of Window

Nearest Neighbour Clutter Removal

Diagnostic Plots for Fitted Point Process Model

Simulate Neyman-Scott Point Process with Cauchy cluster kernel

Create Colour-Valued Pixel Image

Print a Quadrature Scheme

Swedish Pines Point Pattern

Determine Initial State for Metropolis-Hastings Simulation.

Simulate Neyman-Scott Process

Force Point Process Model to be Valid

Mark Correlation Function

Summary of a Spatial Window

Rotate a Line Segment Pattern

Compute Quadratic Forms

is.multitype.ppm

Test Whether A Point Process Model is Multitype

Simulate Log-Gaussian Cox Process

Residuals for Fitted Point Process Model

Print Progress Reports

Methods for Three-Dimensional Box

Convert Pixel Image to Another Unit of Length

Generate a Quadrature Scheme from a Point Pattern

MultiStraussHard

The Multitype/Hard Core Strauss Point Process Model

Distance to Boundary of Window

K-function of a Three-Dimensional Point Pattern

Fit the Neyman-Scott cluster process with Cauchy kernel

dirichlet.weights

Compute Quadrature Weights Based on Dirichlet Tessellation

Chicago Street Crime Data

Area of a Window

Pairwise distances between two different three-dimensional point patterns

Interpolate a Pixel Image

Find Largest Circle Inside Window

Identify Points in a Point Pattern

Stoyan's Rule of Thumb for Bandwidth Selection

pairdist.default

Pairwise distances

Plot Function Values

Create a Function Value Table

Perfect Simulation of the Strauss Process

rescue.rectangle

Convert Window Back To Rectangle

Data Sharpening of Point Pattern

Union of Data and Dummy Points

model.matrix.ppm

Extract Design Matrix from Point Process Model

update.rmhcontrol

Update Control Parameters of Metropolis-Hastings Algorithm

Pool Data from Several Envelopes

The Multitype Hard Core Point Process Model

Safely Convert Point Pattern Window to Binary Mask

Contour plot of pixel image

The Multitype Strauss Point Process Model

Cross Validated Bandwidth Selection for Relative Risk Estimation

Biological Cells Point Pattern

Compute Disc of Given Radius in Linear Network

Crossing Points of Two Line Segment Patterns

Make Periodic Copies of a Spatial Pattern

New Zealand Trees Point Pattern

Longleaf Pines Point Pattern

Generate Poisson Point Pattern

Specify Simulation Window or Expansion Rule

Uniform Random Points on a Linear Network

Read Point Pattern From Data File

Simulate Matern Model II

Apply Smoothing to Function Values

Calculate Summary Statistic for All Types in a Multitype Point Pattern

Randomly Shift a Point Pattern

Simulate a Fitted Cluster Point Process Model

Extract Unique Points from a Spatial Point Pattern

Class of Fitted Point Process Models

Generate Poisson Point Pattern in Any Dimensions

Delaunay Triangulation of Point Pattern